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imageapiai.com - AI Image Generation API
通过 API 调用 AI 生成图像的服务
developeron29 · HN
Image generation API using AI
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通过 API 调用 AI 生成图像的服务
developeron29 · HN
Image generation API using AI
使用 FRAI 扫描网站中的 AI 使用情况，并测试聊天机器人的偏差和安全性。
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff
在本地处理数据来屏蔽个人信息，降低发送到Claude、ChatGPT等API的token成本。
@AI_303030 · X
Operator Inbox - 统一的全渠道客服收件箱，管理客户对话和支持案件。
@Sakhilexqld · X
Check out what I just built with Lovable! Xtreme powered by Vodata Networks BMW esim @elonmusk @eNCA @newzroomafrika405
AI 应用安全扫描器，检测泄露的密钥和配置问题。
thfothijn · Product Hunt
OpzyAI Finds what your AI-built app leaks — your editor fixes it
检查31项网络和浏览器信号，包括IP、代理和DNS，用于ChatGPT访问验证。
lixiaofei · HN
OpenAI network checker using 31 browser and IP signals
OpenAI-compatible chat, embed, and rerank on one key. Hard-capped prepaid billing and an official n8n node — no surprise invoices.
@trycaedral · X
AnToAnt 是一个 AI 系统设计工具，可从你的想法生成完整的软件架构、API 和数据库模式。
@LandDebbarma · X
🚀 AI that turns your idea into production-ready system architecture in seconds. Build faster, design smarter.
A GitHub-backed wiki for Open Knowledge Format bundles
aiobe · HN
I built Commonplace because I wanted to learn more about Google's Open Knowledge Format for knowledge sharing with human and agents. At the same time, Atlassian announced it will start using customer cloud data to train its AI models (opt-out is Enterprise-only), which made a self-hosted Confluence alternative feel timely. The idea: - Use a Git repository that follows Open Knowledge Format with plain Markdown - Commonplace is just a stateless frontend on top (nice UI, but no database, no backups
AcruxCore is an LLM-ops platform for engineering teams: version prompts, route LLM calls through an OpenAI-compatible gateway, trace every request, catalog tools, and evaluate qual
@AcruxCore · X
通过统一 API 访问 200+ AI 模型（Claude、GPT、Gemini），支持自动故障转移。
@MixRoute_ai · X
Edge Python 是一个在浏览器中运行的轻量级 Python 解释器。
dylansuttonc · HN
When I started programming Edge Python more than six months ago, I was looking for a version of Python that weighed less than 200 kb so it could reach any device, sandboxed by design, built with browsers in mind, decoupled from the operating system and very fast. Today the closest competitor would be MicroPython. However, it did not solve my real problems or the problems of the people who use the project. * Managing async and blocking code on the event loop. MicroPython inherits CPython's blocki